Samuel S. Shepard

41 total papers · 1.4k total citations
18 papers, 574 citations indexed

About

Samuel S. Shepard is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Samuel S. Shepard has authored 18 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Samuel S. Shepard's work include Influenza Virus Research Studies (7 papers), RNA and protein synthesis mechanisms (7 papers) and Respiratory viral infections research (4 papers). Samuel S. Shepard is often cited by papers focused on Influenza Virus Research Studies (7 papers), RNA and protein synthesis mechanisms (7 papers) and Respiratory viral infections research (4 papers). Samuel S. Shepard collaborates with scholars based in United States, United Kingdom and Singapore. Samuel S. Shepard's co-authors include A. N. Fedorov, John Barnes, Malania M. Wilson, Elizabeth B. Neuhaus, Justin Bahl, Larisa Fedorova, A. John McSweeny, Ashwin Prakash, Vivien G. Dugan and Matthew W. Keller and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Samuel S. Shepard

18 papers receiving 557 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel S. Shepard 297 228 156 81 73 18 574
Pradyumna Baviskar 187 0.6× 236 1.0× 130 0.8× 99 1.2× 20 0.3× 14 571
Siwen Liu 376 1.3× 123 0.5× 218 1.4× 60 0.7× 20 0.3× 23 591
Wolfgang Vahrson 250 0.8× 105 0.5× 101 0.6× 57 0.7× 17 0.2× 12 517
N Moscufo 281 0.9× 112 0.5× 158 1.0× 33 0.4× 47 0.6× 15 612
Loïc Carrique 242 0.8× 256 1.1× 158 1.0× 21 0.3× 49 0.7× 24 570
Kathryn Rozen-Gagnon 230 0.8× 88 0.4× 310 2.0× 67 0.8× 22 0.3× 16 660
Brian J. Kempf 322 1.1× 80 0.4× 176 1.1× 152 1.9× 32 0.4× 16 616
Yuan Zhang 218 0.7× 82 0.4× 164 1.1× 30 0.4× 20 0.3× 23 532
Marvin L. Macy 251 0.8× 62 0.3× 57 0.4× 63 0.8× 59 0.8× 14 560
Hyung Suk Oh 263 0.9× 220 1.0× 153 1.0× 24 0.3× 27 0.4× 29 622

Countries citing papers authored by Samuel S. Shepard

Since Specialization
Citations

This map shows the geographic impact of Samuel S. Shepard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel S. Shepard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel S. Shepard more than expected).

Fields of papers citing papers by Samuel S. Shepard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Shepard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel S. Shepard. The network helps show where Samuel S. Shepard may publish in the future.

Co-authorship network of co-authors of Samuel S. Shepard

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S. Shepard. A scholar is included among the top collaborators of Samuel S. Shepard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel S. Shepard. Samuel S. Shepard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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